{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "34b8e2b5-c550-4be1-8641-b326eac7ed1c",
   "metadata": {
    "tags": []
   },
   "source": [
    "## M4M SQA -- Project Outline \n",
    "\n",
    "### 1. Data Preparation and Feature Engineering\n",
    "- **Acquire training features (`train_feature`).**\n",
    "- **Obtain heart rate data for training (`train_hr`) and testing (`test_hr`).**\n",
    "\n",
    "### 2. Feature Selection and Model Training\n",
    "- **Import the feature map.**\n",
    "- **Select features for the model.**\n",
    "- **Train the model using the selected features.**\n",
    "- **Save the trained (`ML model`) and compare (`different ML model`).**\n",
    "\n",
    "### 3. Experiment I: Quality Estimation Test\n",
    "- **Acquire the test feature (`test_feature`) using selected features and save it as a CSV file.**\n",
    "- **Import test data and the model, then perform the testing.**\n",
    "\n",
    "### 4. Experiment II: Heart Rate Estimation\n",
    "- **Add prediction labels to test data and merge with PPG heart rate data.**\n",
    "- **Prepare the ECG heart rate as ground truth.**\n",
    "- **Merge PPG and ECG heart rate data.**\n",
    "- **Generate plots and metrics from the PPG and ECG heart rate data.**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4adc4da-ac9a-40f7-9b91-5c132a626b3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Firstly, select 'each_slice_length' in Data_loading.py file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aee45098-628d-474d-9c3e-601e6824b142",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy\n",
    "import pickle\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import AdaBoostClassifier, GradientBoostingClassifier, RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "from Data_loading import fs, dt, each_slice_length, save_model_and_scalers, load_model_and_scalers, load_and_filter_data \n",
    "from Train_models import molti_ROC1, model_compare1,select_features \n",
    "from Test_models import evaluate_model, evaluate_and_compare_models, train_and_select_features  \n",
    "from Feature_extraction import analyse  \n",
    "from HR_processing import prepare_predict_label, prepare_final_df, create_final_ecg_hr_data,create_final_ecg_MIMIC_hr_data, plot_ecg_ppg_mae_combined  \n",
    "\n",
    "import warnings\n",
    "seed = 42\n",
    "np.random.seed(seed)\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9e09e30-8d92-46b7-a0c2-d62386dfb9fa",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 1, Get train_feature, train_hr and test_hr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54eada50-969a-4c98-813e-933773647710",
   "metadata": {
    "tags": []
   },
   "source": [
    "####  Logic: 1, get train feature   2,train_hr   3,test_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "aa5a4499-c7d6-46a1-b139-1da40b5d665f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check experimental parameters\n",
    "each_slice_length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "878e120d-d712-4efd-aa72-f368b2b643b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.1 Get train dataset features\n",
    "\n",
    "csv_file1 = analyse('train_SR', 'SR', map_type=\"feature\",selected_features=None)\n",
    "csv_file2 = analyse('train_AF', 'AF', map_type=\"feature\",selected_features=None)\n",
    "\n",
    "train_feature = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "\n",
    "dir_path = f'Model_feature_hr_save1/data_{each_slice_length}s/'\n",
    "\n",
    "if not os.path.exists(dir_path):\n",
    "    os.makedirs(dir_path)\n",
    "    \n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/train_{each_slice_length}s_feature.csv'\n",
    "train_feature.to_csv(file_path, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0882155b-279f-469f-96da-38c143b10c6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.2 Get train_hr\n",
    "\n",
    "csv_file1 = analyse('train_SR', 'SR', map_type=\"hr\",selected_features=None)\n",
    "csv_file2 = analyse('train_AF', 'AF', map_type=\"hr\",selected_features=None)\n",
    "\n",
    "train_hr = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "\n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/train_{each_slice_length}s_hr.csv'\n",
    "train_hr.to_csv(file_path, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b9776755-8b21-4dea-9b54-5a578b1876b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1.3 Get test_hr\n",
    "\n",
    "csv_file1 = analyse('test_SR', 'SR', map_type=\"hr\",selected_features=None)\n",
    "csv_file2 = analyse('test_AF', 'AF', map_type=\"hr\",selected_features=None)\n",
    "\n",
    "test_hr = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "    \n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/test_{each_slice_length}s_hr.csv'\n",
    "test_hr.to_csv(file_path, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb08114e-0be6-4af2-b8dd-2db6b64f03ef",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 2, Feature selection then train ML model then save model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec5de53c-07c0-440a-b2cb-96b62a1164b1",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### the method for feature selection is RLScore. \n",
    "Logic: 1, import feature map. \n",
    "2,feature selection. \n",
    "3,train model with selected features. \n",
    "4,save this model\n",
    "5,compare different models\n",
    "6,also save these model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3240c816-30cf-4d07-8ac1-c5f6847cc3d0",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c1_Waveform_Correlation_Index</th>\n",
       "      <th>c2_Euclidean_Distance</th>\n",
       "      <th>c5_Dynamic_Correlation_Index</th>\n",
       "      <th>A6_Signal_Consistency_Range</th>\n",
       "      <th>B1_Std_of_PSD</th>\n",
       "      <th>A7_Cardiac_Pulse_Power</th>\n",
       "      <th>C3_Linear_Resampling</th>\n",
       "      <th>C4_Clipping_Quality_Index</th>\n",
       "      <th>A1_SQI2_skewness</th>\n",
       "      <th>A2_Kurtosis_Index</th>\n",
       "      <th>A3_Shannon_Entropy</th>\n",
       "      <th>A4_Zero_Cross_Rate</th>\n",
       "      <th>A5_Absolute_Signal_to_noise_Ratio</th>\n",
       "      <th>B2_Relative_Power_SQI</th>\n",
       "      <th>A8_Lempel_Ziv_Complexity</th>\n",
       "      <th>label_list</th>\n",
       "      <th>dataset_label</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0.183535</td>\n",
       "      <td>12.398490</td>\n",
       "      <td>0.989036</td>\n",
       "      <td>0.830558</td>\n",
       "      <td>2.329484</td>\n",
       "      <td>45066.562172</td>\n",
       "      <td>0.183535</td>\n",
       "      <td>0.898163</td>\n",
       "      <td>2.095899</td>\n",
       "      <td>19.829856</td>\n",
       "      <td>12.813203</td>\n",
       "      <td>0.054167</td>\n",
       "      <td>1.118074</td>\n",
       "      <td>0.424240</td>\n",
       "      <td>0.053125</td>\n",
       "      <td>dropna_1075PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.020137</td>\n",
       "      <td>3.767490</td>\n",
       "      <td>0.993938</td>\n",
       "      <td>0.352890</td>\n",
       "      <td>0.402348</td>\n",
       "      <td>8593.082976</td>\n",
       "      <td>0.020137</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.754072</td>\n",
       "      <td>61.247576</td>\n",
       "      <td>7.016977</td>\n",
       "      <td>0.068490</td>\n",
       "      <td>1.068654</td>\n",
       "      <td>0.478277</td>\n",
       "      <td>0.067969</td>\n",
       "      <td>dropna_1075PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.235856</td>\n",
       "      <td>5.315609</td>\n",
       "      <td>0.994834</td>\n",
       "      <td>0.470162</td>\n",
       "      <td>0.455937</td>\n",
       "      <td>6673.585790</td>\n",
       "      <td>0.235856</td>\n",
       "      <td>0.958933</td>\n",
       "      <td>3.448773</td>\n",
       "      <td>34.861257</td>\n",
       "      <td>13.240187</td>\n",
       "      <td>0.057552</td>\n",
       "      <td>1.107530</td>\n",
       "      <td>0.438597</td>\n",
       "      <td>0.058073</td>\n",
       "      <td>dropna_1075PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.316194</td>\n",
       "      <td>1.032939</td>\n",
       "      <td>0.875434</td>\n",
       "      <td>0.088129</td>\n",
       "      <td>0.021002</td>\n",
       "      <td>363.567132</td>\n",
       "      <td>0.316194</td>\n",
       "      <td>0.999117</td>\n",
       "      <td>1.808850</td>\n",
       "      <td>35.861261</td>\n",
       "      <td>-31.344482</td>\n",
       "      <td>0.070573</td>\n",
       "      <td>1.081648</td>\n",
       "      <td>0.460655</td>\n",
       "      <td>0.070312</td>\n",
       "      <td>dropna_1075PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.377516</td>\n",
       "      <td>0.771514</td>\n",
       "      <td>0.826560</td>\n",
       "      <td>0.098439</td>\n",
       "      <td>0.023709</td>\n",
       "      <td>384.047316</td>\n",
       "      <td>0.377516</td>\n",
       "      <td>0.998068</td>\n",
       "      <td>1.879306</td>\n",
       "      <td>60.135808</td>\n",
       "      <td>-29.321748</td>\n",
       "      <td>0.066146</td>\n",
       "      <td>1.090419</td>\n",
       "      <td>0.282244</td>\n",
       "      <td>0.065625</td>\n",
       "      <td>dropna_1075PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
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       "      <td>0.189018</td>\n",
       "      <td>0.355334</td>\n",
       "      <td>0.993770</td>\n",
       "      <td>0.067665</td>\n",
       "      <td>0.001767</td>\n",
       "      <td>20.464793</td>\n",
       "      <td>0.189018</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.093455</td>\n",
       "      <td>8.575654</td>\n",
       "      <td>-383.756702</td>\n",
       "      <td>0.070833</td>\n",
       "      <td>1.289625</td>\n",
       "      <td>0.387052</td>\n",
       "      <td>0.067969</td>\n",
       "      <td>dropna_1090PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14276</th>\n",
       "      <td>0.111694</td>\n",
       "      <td>0.325790</td>\n",
       "      <td>0.981566</td>\n",
       "      <td>0.047099</td>\n",
       "      <td>0.008364</td>\n",
       "      <td>85.122084</td>\n",
       "      <td>0.111694</td>\n",
       "      <td>0.999320</td>\n",
       "      <td>0.404024</td>\n",
       "      <td>34.601352</td>\n",
       "      <td>-162.299498</td>\n",
       "      <td>0.070573</td>\n",
       "      <td>1.073749</td>\n",
       "      <td>0.143711</td>\n",
       "      <td>0.070833</td>\n",
       "      <td>dropna_1090PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>14277</th>\n",
       "      <td>0.222837</td>\n",
       "      <td>0.178018</td>\n",
       "      <td>0.985179</td>\n",
       "      <td>0.039948</td>\n",
       "      <td>0.000791</td>\n",
       "      <td>7.778133</td>\n",
       "      <td>0.222837</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.514055</td>\n",
       "      <td>61.643523</td>\n",
       "      <td>-580.307317</td>\n",
       "      <td>0.074740</td>\n",
       "      <td>1.182270</td>\n",
       "      <td>0.383276</td>\n",
       "      <td>0.073958</td>\n",
       "      <td>dropna_1090PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.218980</td>\n",
       "      <td>0.184951</td>\n",
       "      <td>0.982291</td>\n",
       "      <td>0.042942</td>\n",
       "      <td>0.000607</td>\n",
       "      <td>9.066596</td>\n",
       "      <td>0.218980</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.396989</td>\n",
       "      <td>24.956662</td>\n",
       "      <td>-701.264245</td>\n",
       "      <td>0.079687</td>\n",
       "      <td>1.254160</td>\n",
       "      <td>0.330997</td>\n",
       "      <td>0.078906</td>\n",
       "      <td>dropna_1090PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14279</th>\n",
       "      <td>0.150729</td>\n",
       "      <td>1.686308</td>\n",
       "      <td>0.993785</td>\n",
       "      <td>0.080993</td>\n",
       "      <td>0.613779</td>\n",
       "      <td>6516.170339</td>\n",
       "      <td>0.150729</td>\n",
       "      <td>0.991484</td>\n",
       "      <td>3.127401</td>\n",
       "      <td>98.233769</td>\n",
       "      <td>-5.142369</td>\n",
       "      <td>0.060156</td>\n",
       "      <td>1.019229</td>\n",
       "      <td>0.170703</td>\n",
       "      <td>0.060156</td>\n",
       "      <td>dropna_1090PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14280 rows × 18 columns</p>\n",
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      ],
      "text/plain": [
       "       c1_Waveform_Correlation_Index  c2_Euclidean_Distance  \\\n",
       "0                           0.183535              12.398490   \n",
       "1                           0.020137               3.767490   \n",
       "2                           0.235856               5.315609   \n",
       "3                           0.316194               1.032939   \n",
       "4                           0.377516               0.771514   \n",
       "...                              ...                    ...   \n",
       "14275                       0.189018               0.355334   \n",
       "14276                       0.111694               0.325790   \n",
       "14277                       0.222837               0.178018   \n",
       "14278                       0.218980               0.184951   \n",
       "14279                       0.150729               1.686308   \n",
       "\n",
       "       c5_Dynamic_Correlation_Index  A6_Signal_Consistency_Range  \\\n",
       "0                          0.989036                     0.830558   \n",
       "1                          0.993938                     0.352890   \n",
       "2                          0.994834                     0.470162   \n",
       "3                          0.875434                     0.088129   \n",
       "4                          0.826560                     0.098439   \n",
       "...                             ...                          ...   \n",
       "14275                      0.993770                     0.067665   \n",
       "14276                      0.981566                     0.047099   \n",
       "14277                      0.985179                     0.039948   \n",
       "14278                      0.982291                     0.042942   \n",
       "14279                      0.993785                     0.080993   \n",
       "\n",
       "       B1_Std_of_PSD  A7_Cardiac_Pulse_Power  C3_Linear_Resampling  \\\n",
       "0           2.329484            45066.562172              0.183535   \n",
       "1           0.402348             8593.082976              0.020137   \n",
       "2           0.455937             6673.585790              0.235856   \n",
       "3           0.021002              363.567132              0.316194   \n",
       "4           0.023709              384.047316              0.377516   \n",
       "...              ...                     ...                   ...   \n",
       "14275       0.001767               20.464793              0.189018   \n",
       "14276       0.008364               85.122084              0.111694   \n",
       "14277       0.000791                7.778133              0.222837   \n",
       "14278       0.000607                9.066596              0.218980   \n",
       "14279       0.613779             6516.170339              0.150729   \n",
       "\n",
       "       C4_Clipping_Quality_Index  A1_SQI2_skewness  A2_Kurtosis_Index  \\\n",
       "0                       0.898163          2.095899          19.829856   \n",
       "1                       0.975000          0.754072          61.247576   \n",
       "2                       0.958933          3.448773          34.861257   \n",
       "3                       0.999117          1.808850          35.861261   \n",
       "4                       0.998068          1.879306          60.135808   \n",
       "...                          ...               ...                ...   \n",
       "14275                   1.000000          1.093455           8.575654   \n",
       "14276                   0.999320          0.404024          34.601352   \n",
       "14277                   1.000000          3.514055          61.643523   \n",
       "14278                   1.000000          1.396989          24.956662   \n",
       "14279                   0.991484          3.127401          98.233769   \n",
       "\n",
       "       A3_Shannon_Entropy  A4_Zero_Cross_Rate  \\\n",
       "0               12.813203            0.054167   \n",
       "1                7.016977            0.068490   \n",
       "2               13.240187            0.057552   \n",
       "3              -31.344482            0.070573   \n",
       "4              -29.321748            0.066146   \n",
       "...                   ...                 ...   \n",
       "14275         -383.756702            0.070833   \n",
       "14276         -162.299498            0.070573   \n",
       "14277         -580.307317            0.074740   \n",
       "14278         -701.264245            0.079687   \n",
       "14279           -5.142369            0.060156   \n",
       "\n",
       "       A5_Absolute_Signal_to_noise_Ratio  B2_Relative_Power_SQI  \\\n",
       "0                               1.118074               0.424240   \n",
       "1                               1.068654               0.478277   \n",
       "2                               1.107530               0.438597   \n",
       "3                               1.081648               0.460655   \n",
       "4                               1.090419               0.282244   \n",
       "...                                  ...                    ...   \n",
       "14275                           1.289625               0.387052   \n",
       "14276                           1.073749               0.143711   \n",
       "14277                           1.182270               0.383276   \n",
       "14278                           1.254160               0.330997   \n",
       "14279                           1.019229               0.170703   \n",
       "\n",
       "       A8_Lempel_Ziv_Complexity          label_list dataset_label  label  \n",
       "0                      0.053125  dropna_1075PPG.csv            SR      1  \n",
       "1                      0.067969  dropna_1075PPG.csv            SR      1  \n",
       "2                      0.058073  dropna_1075PPG.csv            SR      1  \n",
       "3                      0.070312  dropna_1075PPG.csv            SR      1  \n",
       "4                      0.065625  dropna_1075PPG.csv            SR      0  \n",
       "...                         ...                 ...           ...    ...  \n",
       "14275                  0.067969  dropna_1090PPG.csv            AF      0  \n",
       "14276                  0.070833  dropna_1090PPG.csv            AF      0  \n",
       "14277                  0.073958  dropna_1090PPG.csv            AF      0  \n",
       "14278                  0.078906  dropna_1090PPG.csv            AF      0  \n",
       "14279                  0.060156  dropna_1090PPG.csv            AF      1  \n",
       "\n",
       "[14280 rows x 18 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2.1, import feature map. \n",
    "# \n",
    "model_type='SR_AF' # SR_AF  or SR or AF  pick data to train\n",
    "# model_type='SR'\n",
    "# model_type='AF'\n",
    "\n",
    "train_data = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='train', map_type='feature',is_mimic=False)\n",
    "train_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c0a4b479-9ee1-4551-bd83-296d2ae98074",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features selected 1, test error 0.130828, accuracy 0.843978\n",
      "Features selected 2, test error 0.120682, accuracy 0.856022\n",
      "Features selected 3, test error 0.114034, accuracy 0.869468\n",
      "Features selected 4, test error 0.110141, accuracy 0.873950\n",
      "Features selected 5, test error 0.108180, accuracy 0.875630\n",
      "test error 0.108180\n",
      "Selected feature names:\n",
      "Index(['A5_Absolute_Signal_to_noise_Ratio', 'c2_Euclidean_Distance',\n",
      "       'c1_Waveform_Correlation_Index', 'A8_Lempel_Ziv_Complexity',\n",
      "       'A7_Cardiac_Pulse_Power'],\n",
      "      dtype='object')\n",
      "Selected features [12, 1, 0, 14, 5]\n"
     ]
    }
   ],
   "source": [
    "# 2.2 feature selection.\n",
    "top_features = train_and_select_features(train_data, max_features=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "afd95ad5-e7c1-4d9e-9982-2e9c68d97cbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#  Parameter setting\n",
    "random_state = 42\n",
    "clf = LogisticRegression(random_state=random_state, max_iter=1000)\n",
    "\n",
    "# Shuffle\n",
    "data = train_data.sample(frac=1, random_state=42)\n",
    "\n",
    "features = [\n",
    "      'A6_Signal_Consistency_Range', 'B1_Std_of_PSD',\n",
    "    'A7_Cardiac_Pulse_Power', 'C3_Linear_Resampling', 'C4_Clipping_Quality_Index',\n",
    "    'A1_SQI2_skewness', 'A2_Kurtosis_Index', 'A3_Shannon_Entropy', 'A4_Zero_Cross_Rate',\n",
    "    'A5_Absolute_Signal_to_noise_Ratio', 'B2_Relative_Power_SQI', 'A8_Lempel_Ziv_Complexity'\n",
    "]\n",
    "\n",
    "datasets = {feature: data[[feature, 'label_list', 'dataset_label', 'label']] for feature in features}\n",
    "\n",
    "datasets['All'] = data[features + ['label_list', 'dataset_label', 'label']]\n",
    "\n",
    "classifiers = {\n",
    "    'Logistic Regression': LogisticRegression(random_state=random_state, max_iter=1000),\n",
    "    'AdaBoost': AdaBoostClassifier(n_estimators=100, random_state=random_state),\n",
    "    'GBDT': GradientBoostingClassifier(n_estimators=100, learning_rate=1.0, max_depth=1, random_state=random_state),\n",
    "    'SVC': SVC(kernel='linear', gamma='auto', degree=1, cache_size=5000, probability=True, random_state=random_state),\n",
    "    'KNN': KNeighborsClassifier(n_neighbors=5),\n",
    "    'RandomForest': RandomForestClassifier(n_estimators=100, max_depth=5, random_state=random_state),\n",
    "    'DecisionTree': DecisionTreeClassifier(max_depth=5, random_state=random_state)\n",
    "}\n",
    "\n",
    "colors = [\n",
    "    '#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', \n",
    "    '#e377c2', '#7f7f7f', '#bcbd22', '#17becf', '#aec7e8', '#ffbb78',\n",
    "    '#98df8a', '#ff9896', '#c5b0d5',  'red','#c49c94'\n",
    "]\n",
    "lines = ['solid'] * len(features) + ['solid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a021f89-fa7c-4b54-b1c6-3e3eaf9bfc83",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model and scalers have been saved to Model_feature_hr_save1/Model_SR_AF_120s/models_and_scalers_lg_120s.pkl\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROC AUC</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Sensitivity</th>\n",
       "      <th>Precision</th>\n",
       "      <th>F1-Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A5_Absolute_Signal_to_noise_Ratio</th>\n",
       "      <td>0.879155</td>\n",
       "      <td>0.837395</td>\n",
       "      <td>0.899750</td>\n",
       "      <td>0.801660</td>\n",
       "      <td>0.847877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c2_Euclidean_Distance</th>\n",
       "      <td>0.833745</td>\n",
       "      <td>0.749720</td>\n",
       "      <td>0.677697</td>\n",
       "      <td>0.795106</td>\n",
       "      <td>0.731722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A7_Cardiac_Pulse_Power</th>\n",
       "      <td>0.823507</td>\n",
       "      <td>0.723039</td>\n",
       "      <td>0.552558</td>\n",
       "      <td>0.843558</td>\n",
       "      <td>0.667731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3_Linear_Resampling</th>\n",
       "      <td>0.877857</td>\n",
       "      <td>0.807003</td>\n",
       "      <td>0.848443</td>\n",
       "      <td>0.785530</td>\n",
       "      <td>0.815775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A8_Lempel_Ziv_Complexity</th>\n",
       "      <td>0.652219</td>\n",
       "      <td>0.627871</td>\n",
       "      <td>0.660317</td>\n",
       "      <td>0.623228</td>\n",
       "      <td>0.641237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>0.940114</td>\n",
       "      <td>0.874230</td>\n",
       "      <td>0.903504</td>\n",
       "      <td>0.855000</td>\n",
       "      <td>0.878583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    ROC AUC  Accuracy  Sensitivity  Precision  \\\n",
       "A5_Absolute_Signal_to_noise_Ratio  0.879155  0.837395     0.899750   0.801660   \n",
       "c2_Euclidean_Distance              0.833745  0.749720     0.677697   0.795106   \n",
       "A7_Cardiac_Pulse_Power             0.823507  0.723039     0.552558   0.843558   \n",
       "C3_Linear_Resampling               0.877857  0.807003     0.848443   0.785530   \n",
       "A8_Lempel_Ziv_Complexity           0.652219  0.627871     0.660317   0.623228   \n",
       "All                                0.940114  0.874230     0.903504   0.855000   \n",
       "\n",
       "                                   F1-Score  \n",
       "A5_Absolute_Signal_to_noise_Ratio  0.847877  \n",
       "c2_Euclidean_Distance              0.731722  \n",
       "A7_Cardiac_Pulse_Power             0.667731  \n",
       "C3_Linear_Resampling               0.815775  \n",
       "A8_Lempel_Ziv_Complexity           0.641237  \n",
       "All                                0.878583  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.3 train one model with selected features and save one(lg) model. \n",
    "\n",
    "selected_features = ['A5_Absolute_Signal_to_noise_Ratio', 'c2_Euclidean_Distance',\n",
    "       'A7_Cardiac_Pulse_Power', 'C3_Linear_Resampling',\n",
    "       'A8_Lempel_Ziv_Complexity','All']\n",
    "\n",
    "selected_datasets = select_features(selected_features, data)\n",
    "plt, results_df,trained_models,trained_scalers = molti_ROC1(selected_features, selected_datasets, colors, lines)\n",
    "\n",
    "save_model_and_scalers(trained_models['All'], trained_scalers['All'], model_type, each_slice_length, \"one\")\n",
    "\n",
    "results_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02abc571-9ca3-46e4-b21c-ec23e88de75e",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 2.4. train multi models with selected features and save All model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b6247d3f-9fef-414a-94a2-f3f67afe0957",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model and scalers have been saved to Model_feature_hr_save1/Model_SR_AF_120s/models_and_scalers_120s.pkl\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.4. train multi models with selected features and save All model.\n",
    "plt, results_df_concat2, trained_diff_models,trained_diff_scalers = model_compare1(list(classifiers.keys()), list(classifiers.values()), selected_datasets[-1], colors, lines)\n",
    "results_df_concat2\n",
    "\n",
    "# save multi model\n",
    "save_model_and_scalers(trained_diff_models, trained_diff_scalers, model_type, each_slice_length, \"All\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "076e37eb-f423-469f-945c-d48259c91028",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 3, Experiment I: Quality estimation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f18e9fae-7224-4a03-bdd4-551d2d7435e6",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Test with selected feature\n",
    "logic: 1, get test feature map (selected feature) and save into csv. 2,import test data, model, and then test it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3b49b5a0-4fb2-4d41-915d-8e9f8c215922",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3.1.1 Get test feature map\n",
    "\n",
    "selected_features = ['A5_Absolute_Signal_to_noise_Ratio', 'c2_Euclidean_Distance',\n",
    "       'A7_Cardiac_Pulse_Power', 'C3_Linear_Resampling',\n",
    "       'A8_Lempel_Ziv_Complexity','All']\n",
    "\n",
    "csv_file1= analyse('test_SR','SR', map_type=\"feature\", selected_features=selected_features)\n",
    "csv_file2 = analyse('test_AF','AF',map_type=\"feature\", selected_features=selected_features)\n",
    "\n",
    "test_feature = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/test_{each_slice_length}s_feature.csv'\n",
    "test_feature.to_csv(file_path, index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "dcf81cc6-75aa-4836-a043-a40656286525",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3.1.2 Get test_mimic hr map\n",
    "\n",
    "csv_file1= analyse('test_mimiciv','SR', map_type=\"hr\",selected_features=None)\n",
    "csv_file2 = pd.DataFrame(columns=csv_file1.columns)\n",
    "\n",
    "test_mimic = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/test_mimic_{each_slice_length}s_hr.csv'\n",
    "test_mimic.to_csv(file_path, index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bb2d6b4a-2a70-49f8-95f7-f5e036f78eaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3.1.3 Get test_mimic feature all map\n",
    "csv_file1= analyse('test_mimiciv','SR', map_type=\"feature\",selected_features=None)\n",
    "csv_file2 = pd.DataFrame(columns=csv_file1.columns)\n",
    "\n",
    "test_mimic = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/train_mimic_{each_slice_length}s_feature.csv'\n",
    "test_mimic.to_csv(file_path, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "c1270643-0304-4e2d-98cc-2e9cf6152c2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3.1.4 Get test_mimic selected features map\n",
    "csv_file1= analyse('test_mimiciv','SR', map_type=\"feature\",selected_features=selected_features)\n",
    "csv_file2 = pd.DataFrame(columns=csv_file1.columns)\n",
    "\n",
    "test_mimic = pd.concat([csv_file1, csv_file2], ignore_index=True)\n",
    "file_path = f'Model_feature_hr_save1/data_{each_slice_length}s/test_mimic_{each_slice_length}s_feature.csv'\n",
    "test_mimic.to_csv(file_path, index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f073006-28f3-4fcd-a085-6379ac5c0bc2",
   "metadata": {},
   "source": [
    "## Start now"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "937a42d2-43da-43d1-93d7-c9ae10cbb301",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A5_SQI6_signal_to_noise_ratio</th>\n",
       "      <th>c2_euclidean</th>\n",
       "      <th>A7extract_heart_cycle_energy</th>\n",
       "      <th>C3linear_resampling_sqi</th>\n",
       "      <th>A8_lempel_ziv_complexity</th>\n",
       "      <th>label_list</th>\n",
       "      <th>dataset_label</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.965561</td>\n",
       "      <td>0.800287</td>\n",
       "      <td>197.839161</td>\n",
       "      <td>0.111777</td>\n",
       "      <td>0.072917</td>\n",
       "      <td>dropna_1101PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.695000</td>\n",
       "      <td>0.186978</td>\n",
       "      <td>2.631689</td>\n",
       "      <td>0.294597</td>\n",
       "      <td>0.075521</td>\n",
       "      <td>dropna_1101PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.675325</td>\n",
       "      <td>0.171907</td>\n",
       "      <td>2.321713</td>\n",
       "      <td>0.398978</td>\n",
       "      <td>0.063542</td>\n",
       "      <td>dropna_1101PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.973306</td>\n",
       "      <td>0.686337</td>\n",
       "      <td>237.486428</td>\n",
       "      <td>0.063072</td>\n",
       "      <td>0.064062</td>\n",
       "      <td>dropna_1101PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.925790</td>\n",
       "      <td>0.264134</td>\n",
       "      <td>18.959484</td>\n",
       "      <td>0.084788</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>dropna_1101PPG.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31945</th>\n",
       "      <td>0.761343</td>\n",
       "      <td>4.733241</td>\n",
       "      <td>1701.624291</td>\n",
       "      <td>0.111134</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>dropna_1518PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31946</th>\n",
       "      <td>0.955061</td>\n",
       "      <td>0.389429</td>\n",
       "      <td>102.773303</td>\n",
       "      <td>-0.165195</td>\n",
       "      <td>0.076563</td>\n",
       "      <td>dropna_1518PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31947</th>\n",
       "      <td>0.539939</td>\n",
       "      <td>0.140712</td>\n",
       "      <td>1.183928</td>\n",
       "      <td>0.340742</td>\n",
       "      <td>0.084896</td>\n",
       "      <td>dropna_1518PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31948</th>\n",
       "      <td>0.704552</td>\n",
       "      <td>0.147293</td>\n",
       "      <td>1.880305</td>\n",
       "      <td>0.305948</td>\n",
       "      <td>0.083854</td>\n",
       "      <td>dropna_1518PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31949</th>\n",
       "      <td>0.887716</td>\n",
       "      <td>3.114172</td>\n",
       "      <td>978.022155</td>\n",
       "      <td>0.309078</td>\n",
       "      <td>0.070312</td>\n",
       "      <td>dropna_1518PPG.csv</td>\n",
       "      <td>AF</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31950 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       A5_SQI6_signal_to_noise_ratio  c2_euclidean  \\\n",
       "0                           0.965561      0.800287   \n",
       "1                           0.695000      0.186978   \n",
       "2                           0.675325      0.171907   \n",
       "3                           0.973306      0.686337   \n",
       "4                           0.925790      0.264134   \n",
       "...                              ...           ...   \n",
       "31945                       0.761343      4.733241   \n",
       "31946                       0.955061      0.389429   \n",
       "31947                       0.539939      0.140712   \n",
       "31948                       0.704552      0.147293   \n",
       "31949                       0.887716      3.114172   \n",
       "\n",
       "       A7extract_heart_cycle_energy  C3linear_resampling_sqi  \\\n",
       "0                        197.839161                 0.111777   \n",
       "1                          2.631689                 0.294597   \n",
       "2                          2.321713                 0.398978   \n",
       "3                        237.486428                 0.063072   \n",
       "4                         18.959484                 0.084788   \n",
       "...                             ...                      ...   \n",
       "31945                   1701.624291                 0.111134   \n",
       "31946                    102.773303                -0.165195   \n",
       "31947                      1.183928                 0.340742   \n",
       "31948                      1.880305                 0.305948   \n",
       "31949                    978.022155                 0.309078   \n",
       "\n",
       "       A8_lempel_ziv_complexity          label_list dataset_label  label  \n",
       "0                      0.072917  dropna_1101PPG.csv            SR      1  \n",
       "1                      0.075521  dropna_1101PPG.csv            SR      1  \n",
       "2                      0.063542  dropna_1101PPG.csv            SR      1  \n",
       "3                      0.064062  dropna_1101PPG.csv            SR      1  \n",
       "4                      0.066667  dropna_1101PPG.csv            SR      1  \n",
       "...                         ...                 ...           ...    ...  \n",
       "31945                  0.062500  dropna_1518PPG.csv            AF      1  \n",
       "31946                  0.076563  dropna_1518PPG.csv            AF      1  \n",
       "31947                  0.084896  dropna_1518PPG.csv            AF      0  \n",
       "31948                  0.083854  dropna_1518PPG.csv            AF      0  \n",
       "31949                  0.070312  dropna_1518PPG.csv            AF      1  \n",
       "\n",
       "[31950 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3.2 Load test data\n",
    "\n",
    "model_type='SR_AF'\n",
    "# model_type='SR'\n",
    "# model_type='AF'\n",
    "\n",
    "test_data = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='feature',is_mimic=False)\n",
    "test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "73e7d483-56c9-4a25-a3ff-5c84424b9978",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.8779655712050078\n",
      "Recall: 0.8672964169381108\n",
      "Precision: 0.8772981878088962\n",
      "F1 Score: 0.8722686322686324\n",
      "ROC AUC: 0.9490992739688393\n"
     ]
    }
   ],
   "source": [
    "# Load one lg model\n",
    "\n",
    "model_type='SR_AF'\n",
    "# model_type='SR'\n",
    "# model_type='AF'\n",
    "\n",
    "final_trained_model, final_trained_scalers = load_model_and_scalers(model_type, each_slice_length, model_number = 'one')\n",
    "\n",
    "# test one lg model\n",
    "evaluate_model(test_data, final_trained_model, final_trained_scalers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e301b4d4-1bb6-4e22-8433-9364189ca423",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROC AUC</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Sensitivity</th>\n",
       "      <th>Precision</th>\n",
       "      <th>F1-Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.949099</td>\n",
       "      <td>0.877966</td>\n",
       "      <td>0.867296</td>\n",
       "      <td>0.877298</td>\n",
       "      <td>0.872269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoost</th>\n",
       "      <td>0.955502</td>\n",
       "      <td>0.886260</td>\n",
       "      <td>0.888274</td>\n",
       "      <td>0.876623</td>\n",
       "      <td>0.882410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBDT</th>\n",
       "      <td>0.955661</td>\n",
       "      <td>0.885352</td>\n",
       "      <td>0.887818</td>\n",
       "      <td>0.875329</td>\n",
       "      <td>0.881529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVC</th>\n",
       "      <td>0.948903</td>\n",
       "      <td>0.879437</td>\n",
       "      <td>0.880000</td>\n",
       "      <td>0.870473</td>\n",
       "      <td>0.875211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.928322</td>\n",
       "      <td>0.872551</td>\n",
       "      <td>0.861433</td>\n",
       "      <td>0.871770</td>\n",
       "      <td>0.866571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RandomForest</th>\n",
       "      <td>0.956545</td>\n",
       "      <td>0.887981</td>\n",
       "      <td>0.887883</td>\n",
       "      <td>0.880028</td>\n",
       "      <td>0.883938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DecisionTree</th>\n",
       "      <td>0.950690</td>\n",
       "      <td>0.879280</td>\n",
       "      <td>0.890814</td>\n",
       "      <td>0.862441</td>\n",
       "      <td>0.876398</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      ROC AUC  Accuracy  Sensitivity  Precision  F1-Score\n",
       "Logistic Regression  0.949099  0.877966     0.867296   0.877298  0.872269\n",
       "AdaBoost             0.955502  0.886260     0.888274   0.876623  0.882410\n",
       "GBDT                 0.955661  0.885352     0.887818   0.875329  0.881529\n",
       "SVC                  0.948903  0.879437     0.880000   0.870473  0.875211\n",
       "KNN                  0.928322  0.872551     0.861433   0.871770  0.866571\n",
       "RandomForest         0.956545  0.887981     0.887883   0.880028  0.883938\n",
       "DecisionTree         0.950690  0.879280     0.890814   0.862441  0.876398"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load multi models\n",
    "trained_diff_models, trained_diff_scalers = load_model_and_scalers(model_type, each_slice_length, model_number = 'All')\n",
    "\n",
    "# test multi model\n",
    "metrics_df = evaluate_and_compare_models(test_data, trained_diff_models, trained_diff_scalers)\n",
    "metrics_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "97d33bbe-62aa-47b0-a97d-7e1169f5ea97",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A5_SQI6_signal_to_noise_ratio</th>\n",
       "      <th>c2_euclidean</th>\n",
       "      <th>A7extract_heart_cycle_energy</th>\n",
       "      <th>C3linear_resampling_sqi</th>\n",
       "      <th>A8_lempel_ziv_complexity</th>\n",
       "      <th>label_list</th>\n",
       "      <th>dataset_label</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.743793</td>\n",
       "      <td>3.038490</td>\n",
       "      <td>944.414487</td>\n",
       "      <td>0.711980</td>\n",
       "      <td>0.108333</td>\n",
       "      <td>80713046_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.628336</td>\n",
       "      <td>3.309429</td>\n",
       "      <td>1402.454458</td>\n",
       "      <td>0.807555</td>\n",
       "      <td>0.146875</td>\n",
       "      <td>80713046_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.640744</td>\n",
       "      <td>3.573721</td>\n",
       "      <td>1234.768225</td>\n",
       "      <td>0.681736</td>\n",
       "      <td>0.122396</td>\n",
       "      <td>80713046_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.720133</td>\n",
       "      <td>3.441873</td>\n",
       "      <td>927.702513</td>\n",
       "      <td>0.585556</td>\n",
       "      <td>0.090104</td>\n",
       "      <td>80713046_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.609595</td>\n",
       "      <td>3.748848</td>\n",
       "      <td>1566.440527</td>\n",
       "      <td>0.743288</td>\n",
       "      <td>0.110417</td>\n",
       "      <td>80713046_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4983</th>\n",
       "      <td>0.516626</td>\n",
       "      <td>4.257067</td>\n",
       "      <td>1587.056441</td>\n",
       "      <td>0.574445</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>89821554_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4984</th>\n",
       "      <td>0.542131</td>\n",
       "      <td>4.352636</td>\n",
       "      <td>1384.017335</td>\n",
       "      <td>0.519188</td>\n",
       "      <td>0.060417</td>\n",
       "      <td>89821554_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4985</th>\n",
       "      <td>0.556084</td>\n",
       "      <td>4.803054</td>\n",
       "      <td>1473.452669</td>\n",
       "      <td>0.412677</td>\n",
       "      <td>0.068229</td>\n",
       "      <td>89821554_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4986</th>\n",
       "      <td>0.512064</td>\n",
       "      <td>4.324139</td>\n",
       "      <td>1523.376577</td>\n",
       "      <td>0.542301</td>\n",
       "      <td>0.067708</td>\n",
       "      <td>89821554_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4987</th>\n",
       "      <td>0.574988</td>\n",
       "      <td>4.475186</td>\n",
       "      <td>1141.174048</td>\n",
       "      <td>0.354252</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>89821554_Pleth_processed_resampled_modified.csv</td>\n",
       "      <td>SR</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4988 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      A5_SQI6_signal_to_noise_ratio  c2_euclidean  \\\n",
       "0                          0.743793      3.038490   \n",
       "1                          0.628336      3.309429   \n",
       "2                          0.640744      3.573721   \n",
       "3                          0.720133      3.441873   \n",
       "4                          0.609595      3.748848   \n",
       "...                             ...           ...   \n",
       "4983                       0.516626      4.257067   \n",
       "4984                       0.542131      4.352636   \n",
       "4985                       0.556084      4.803054   \n",
       "4986                       0.512064      4.324139   \n",
       "4987                       0.574988      4.475186   \n",
       "\n",
       "      A7extract_heart_cycle_energy  C3linear_resampling_sqi  \\\n",
       "0                       944.414487                 0.711980   \n",
       "1                      1402.454458                 0.807555   \n",
       "2                      1234.768225                 0.681736   \n",
       "3                       927.702513                 0.585556   \n",
       "4                      1566.440527                 0.743288   \n",
       "...                            ...                      ...   \n",
       "4983                   1587.056441                 0.574445   \n",
       "4984                   1384.017335                 0.519188   \n",
       "4985                   1473.452669                 0.412677   \n",
       "4986                   1523.376577                 0.542301   \n",
       "4987                   1141.174048                 0.354252   \n",
       "\n",
       "      A8_lempel_ziv_complexity  \\\n",
       "0                     0.108333   \n",
       "1                     0.146875   \n",
       "2                     0.122396   \n",
       "3                     0.090104   \n",
       "4                     0.110417   \n",
       "...                        ...   \n",
       "4983                  0.066667   \n",
       "4984                  0.060417   \n",
       "4985                  0.068229   \n",
       "4986                  0.067708   \n",
       "4987                  0.066667   \n",
       "\n",
       "                                           label_list dataset_label  label  \n",
       "0     80713046_Pleth_processed_resampled_modified.csv            SR      1  \n",
       "1     80713046_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "2     80713046_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "3     80713046_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "4     80713046_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "...                                               ...           ...    ...  \n",
       "4983  89821554_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "4984  89821554_Pleth_processed_resampled_modified.csv            SR      1  \n",
       "4985  89821554_Pleth_processed_resampled_modified.csv            SR      1  \n",
       "4986  89821554_Pleth_processed_resampled_modified.csv            SR      0  \n",
       "4987  89821554_Pleth_processed_resampled_modified.csv            SR      1  \n",
       "\n",
       "[4988 rows x 8 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3.2 Load test data for mimic\n",
    "\n",
    "model_type='SR_AF'\n",
    "# model_type='SR'\n",
    "# model_type='AF'\n",
    "\n",
    "test_data = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='feature',is_mimic=True)\n",
    "test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b441ab5e-1f5d-4bbc-ad55-5b8908078623",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7786688051323175\n",
      "Recall: 0.3960852043753598\n",
      "Precision: 0.9259757738896366\n",
      "F1 Score: 0.5548387096774194\n",
      "ROC AUC: 0.8312953438709881\n"
     ]
    }
   ],
   "source": [
    "# Load one lg model\n",
    "model_type='SR_AF'\n",
    "# model_type='SR'\n",
    "# model_type='AF'\n",
    "\n",
    "final_trained_model, final_trained_scalers = load_model_and_scalers(model_type, each_slice_length, model_number = 'one')\n",
    "\n",
    "# test one lg model\n",
    "evaluate_model(test_data, final_trained_model, final_trained_scalers)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "726e2b9a-3f1f-4172-ae09-83aaf0a4bcbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ROC AUC</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Sensitivity</th>\n",
       "      <th>Precision</th>\n",
       "      <th>F1-Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Logistic Regression</th>\n",
       "      <td>0.831295</td>\n",
       "      <td>0.778669</td>\n",
       "      <td>0.396085</td>\n",
       "      <td>0.925976</td>\n",
       "      <td>0.554839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoost</th>\n",
       "      <td>0.872653</td>\n",
       "      <td>0.795710</td>\n",
       "      <td>0.454231</td>\n",
       "      <td>0.917442</td>\n",
       "      <td>0.607624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GBDT</th>\n",
       "      <td>0.858568</td>\n",
       "      <td>0.786087</td>\n",
       "      <td>0.424295</td>\n",
       "      <td>0.916667</td>\n",
       "      <td>0.580087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVC</th>\n",
       "      <td>0.834904</td>\n",
       "      <td>0.787891</td>\n",
       "      <td>0.435233</td>\n",
       "      <td>0.907563</td>\n",
       "      <td>0.588327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.779223</td>\n",
       "      <td>0.773857</td>\n",
       "      <td>0.548071</td>\n",
       "      <td>0.735135</td>\n",
       "      <td>0.627968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RandomForest</th>\n",
       "      <td>0.809122</td>\n",
       "      <td>0.808941</td>\n",
       "      <td>0.502015</td>\n",
       "      <td>0.908333</td>\n",
       "      <td>0.646644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DecisionTree</th>\n",
       "      <td>0.852862</td>\n",
       "      <td>0.786287</td>\n",
       "      <td>0.428325</td>\n",
       "      <td>0.910649</td>\n",
       "      <td>0.582616</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      ROC AUC  Accuracy  Sensitivity  Precision  F1-Score\n",
       "Logistic Regression  0.831295  0.778669     0.396085   0.925976  0.554839\n",
       "AdaBoost             0.872653  0.795710     0.454231   0.917442  0.607624\n",
       "GBDT                 0.858568  0.786087     0.424295   0.916667  0.580087\n",
       "SVC                  0.834904  0.787891     0.435233   0.907563  0.588327\n",
       "KNN                  0.779223  0.773857     0.548071   0.735135  0.627968\n",
       "RandomForest         0.809122  0.808941     0.502015   0.908333  0.646644\n",
       "DecisionTree         0.852862  0.786287     0.428325   0.910649  0.582616"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load multi models\n",
    "trained_diff_models, trained_diff_scalers = load_model_and_scalers(model_type, each_slice_length, model_number = 'All')\n",
    "\n",
    "# test multi model\n",
    "metrics_df = evaluate_and_compare_models(test_data, trained_diff_models, trained_diff_scalers)\n",
    "metrics_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "143f200b-94dc-413f-9544-a87f71dead9c",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 4, Experiment II: HR estimation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5eaecbc9-dd17-474a-831d-db0aef2698ae",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### This part comtain predict label/PPG_hr/final PPG_HR/ECG_HR/Plot & metrics\n",
    "Logic: 1, Add predict label to test data and merge hr_ppg and predict label. 2, Prepare test ECG_HR as ground true. 3. merge PPG_HR and ECG_HR. 4, Get Plot and metrics from PPG_HR & ECG_HR "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3d3795be-954f-4c18-8f1d-88e83145db37",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PPG_HR_withoutfilter</th>\n",
       "      <th>PPG_HR_SDSD</th>\n",
       "      <th>PPG_HR_auto60s</th>\n",
       "      <th>label</th>\n",
       "      <th>Subject_Number</th>\n",
       "      <th>Count</th>\n",
       "      <th>Pred_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>82.515723</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.333333</td>\n",
       "      <td>1</td>\n",
       "      <td>80713046</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>89.538951</td>\n",
       "      <td>89.934641</td>\n",
       "      <td>90.995261</td>\n",
       "      <td>0</td>\n",
       "      <td>80713046</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>89.633952</td>\n",
       "      <td>90.150922</td>\n",
       "      <td>82.500000</td>\n",
       "      <td>0</td>\n",
       "      <td>80713046</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88.137715</td>\n",
       "      <td>88.867235</td>\n",
       "      <td>78.513011</td>\n",
       "      <td>0</td>\n",
       "      <td>80713046</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>88.460733</td>\n",
       "      <td>89.040512</td>\n",
       "      <td>90.887574</td>\n",
       "      <td>0</td>\n",
       "      <td>80713046</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4921</th>\n",
       "      <td>64.673684</td>\n",
       "      <td>63.376623</td>\n",
       "      <td>63.529412</td>\n",
       "      <td>1</td>\n",
       "      <td>89821554</td>\n",
       "      <td>392</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4922</th>\n",
       "      <td>60.448239</td>\n",
       "      <td>59.181980</td>\n",
       "      <td>59.534884</td>\n",
       "      <td>0</td>\n",
       "      <td>89821554</td>\n",
       "      <td>393</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4923</th>\n",
       "      <td>65.961945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.734440</td>\n",
       "      <td>0</td>\n",
       "      <td>89821554</td>\n",
       "      <td>394</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4924</th>\n",
       "      <td>63.420352</td>\n",
       "      <td>63.420352</td>\n",
       "      <td>61.538462</td>\n",
       "      <td>1</td>\n",
       "      <td>89821554</td>\n",
       "      <td>395</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4925</th>\n",
       "      <td>63.521878</td>\n",
       "      <td>62.985238</td>\n",
       "      <td>62.485207</td>\n",
       "      <td>1</td>\n",
       "      <td>89821554</td>\n",
       "      <td>396</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4926 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      PPG_HR_withoutfilter  PPG_HR_SDSD  PPG_HR_auto60s  label  \\\n",
       "0                82.515723          NaN       85.333333      1   \n",
       "1                89.538951    89.934641       90.995261      0   \n",
       "2                89.633952    90.150922       82.500000      0   \n",
       "3                88.137715    88.867235       78.513011      0   \n",
       "4                88.460733    89.040512       90.887574      0   \n",
       "...                    ...          ...             ...    ...   \n",
       "4921             64.673684    63.376623       63.529412      1   \n",
       "4922             60.448239    59.181980       59.534884      0   \n",
       "4923             65.961945          NaN       63.734440      0   \n",
       "4924             63.420352    63.420352       61.538462      1   \n",
       "4925             63.521878    62.985238       62.485207      1   \n",
       "\n",
       "      Subject_Number  Count  Pred_label  \n",
       "0           80713046      0           0  \n",
       "1           80713046      1           0  \n",
       "2           80713046      2           0  \n",
       "3           80713046      3           0  \n",
       "4           80713046      4           0  \n",
       "...              ...    ...         ...  \n",
       "4921        89821554    392           0  \n",
       "4922        89821554    393           0  \n",
       "4923        89821554    394           0  \n",
       "4924        89821554    395           0  \n",
       "4925        89821554    396           1  \n",
       "\n",
       "[4926 rows x 7 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4.1, Add predict label to test data (quality label)  and merge predict quality label with PPG HR. \n",
    "\n",
    "model_type='SR_AF'\n",
    "test_feature = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='feature',is_mimic=True)\n",
    "\n",
    "predict_label = prepare_predict_label(test_feature, final_trained_model, final_trained_scalers)\n",
    "\n",
    "test_ppg_hr = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='hr',is_mimic=True)\n",
    "\n",
    "ppg_hr = prepare_final_df(test_ppg_hr, predict_label)\n",
    "\n",
    "ppg_hr.to_csv('ppg_hr_data.csv', index=False)\n",
    "ppg_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e98a1d7d-66a6-408d-87e2-9c1bb758f046",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecg_hr=create_final_ecg_MIMIC_hr_data(mimic_directory='New_M4M/test_mimiciv/MIMIC_ECG/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0e9bf647-d148-4793-88a3-12401b64ae09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ECG_HR</th>\n",
       "      <th>Subject_Number</th>\n",
       "      <th>Health_label</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50.526316</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>87.272727</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>64.340426</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88.739496</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89.559748</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4921</th>\n",
       "      <td>74.348509</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4922</th>\n",
       "      <td>87.685039</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4923</th>\n",
       "      <td>75.432163</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4924</th>\n",
       "      <td>81.055409</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4925</th>\n",
       "      <td>75.789474</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>396</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4926 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ECG_HR Subject_Number Health_label  Count\n",
       "0     50.526316       80713046        MIMIC      0\n",
       "1     87.272727       80713046        MIMIC      1\n",
       "2     64.340426       80713046        MIMIC      2\n",
       "3     88.739496       80713046        MIMIC      3\n",
       "4     89.559748       80713046        MIMIC      4\n",
       "...         ...            ...          ...    ...\n",
       "4921  74.348509       89821554        MIMIC    392\n",
       "4922  87.685039       89821554        MIMIC    393\n",
       "4923  75.432163       89821554        MIMIC    394\n",
       "4924  81.055409       89821554        MIMIC    395\n",
       "4925  75.789474       89821554        MIMIC    396\n",
       "\n",
       "[4926 rows x 4 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ecg_hr.to_csv('ecg_hr_data.csv', index=False)\n",
    "ecg_hr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a04277c5-09a8-47cc-b4d3-93db4bd63e34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ECG_HR</th>\n",
       "      <th>Subject_Number</th>\n",
       "      <th>Health_label</th>\n",
       "      <th>Count</th>\n",
       "      <th>PPG_HR_withoutfilter</th>\n",
       "      <th>PPG_HR_SDSD</th>\n",
       "      <th>PPG_HR_auto60s</th>\n",
       "      <th>label</th>\n",
       "      <th>Pred_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50.526316</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>0</td>\n",
       "      <td>82.515723</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.333333</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>87.272727</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>1</td>\n",
       "      <td>89.538951</td>\n",
       "      <td>89.934641</td>\n",
       "      <td>90.995261</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>64.340426</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>2</td>\n",
       "      <td>89.633952</td>\n",
       "      <td>90.150922</td>\n",
       "      <td>82.500000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88.739496</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>3</td>\n",
       "      <td>88.137715</td>\n",
       "      <td>88.867235</td>\n",
       "      <td>78.513011</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89.559748</td>\n",
       "      <td>80713046</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>4</td>\n",
       "      <td>88.460733</td>\n",
       "      <td>89.040512</td>\n",
       "      <td>90.887574</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4921</th>\n",
       "      <td>74.348509</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>392</td>\n",
       "      <td>64.673684</td>\n",
       "      <td>63.376623</td>\n",
       "      <td>63.529412</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4922</th>\n",
       "      <td>87.685039</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>393</td>\n",
       "      <td>60.448239</td>\n",
       "      <td>59.181980</td>\n",
       "      <td>59.534884</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4923</th>\n",
       "      <td>75.432163</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>394</td>\n",
       "      <td>65.961945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.734440</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4924</th>\n",
       "      <td>81.055409</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>395</td>\n",
       "      <td>63.420352</td>\n",
       "      <td>63.420352</td>\n",
       "      <td>61.538462</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4925</th>\n",
       "      <td>75.789474</td>\n",
       "      <td>89821554</td>\n",
       "      <td>MIMIC</td>\n",
       "      <td>396</td>\n",
       "      <td>63.521878</td>\n",
       "      <td>62.985238</td>\n",
       "      <td>62.485207</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4926 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         ECG_HR Subject_Number Health_label  Count  PPG_HR_withoutfilter  \\\n",
       "0     50.526316       80713046        MIMIC      0             82.515723   \n",
       "1     87.272727       80713046        MIMIC      1             89.538951   \n",
       "2     64.340426       80713046        MIMIC      2             89.633952   \n",
       "3     88.739496       80713046        MIMIC      3             88.137715   \n",
       "4     89.559748       80713046        MIMIC      4             88.460733   \n",
       "...         ...            ...          ...    ...                   ...   \n",
       "4921  74.348509       89821554        MIMIC    392             64.673684   \n",
       "4922  87.685039       89821554        MIMIC    393             60.448239   \n",
       "4923  75.432163       89821554        MIMIC    394             65.961945   \n",
       "4924  81.055409       89821554        MIMIC    395             63.420352   \n",
       "4925  75.789474       89821554        MIMIC    396             63.521878   \n",
       "\n",
       "      PPG_HR_SDSD  PPG_HR_auto60s  label  Pred_label  \n",
       "0             NaN       85.333333      1           0  \n",
       "1       89.934641       90.995261      0           0  \n",
       "2       90.150922       82.500000      0           0  \n",
       "3       88.867235       78.513011      0           0  \n",
       "4       89.040512       90.887574      0           0  \n",
       "...           ...             ...    ...         ...  \n",
       "4921    63.376623       63.529412      1           0  \n",
       "4922    59.181980       59.534884      0           0  \n",
       "4923          NaN       63.734440      0           0  \n",
       "4924    63.420352       61.538462      1           0  \n",
       "4925    62.985238       62.485207      1           1  \n",
       "\n",
       "[4926 rows x 9 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4.3 merge PPG_HR and ECG_HR. \n",
    "\n",
    "ecg_hr['Subject_Number'] = ecg_hr['Subject_Number'].astype(str)\n",
    "ppg_hr['Subject_Number'] = ppg_hr['Subject_Number'].astype(str)\n",
    "\n",
    "merged_data_mimic = pd.merge(ecg_hr, ppg_hr, on=['Count', 'Subject_Number'], suffixes=('_ecg', '_ppg'))\n",
    "merged_data_mimic.to_csv('merged_data_mimic.csv', index=False)\n",
    "merged_data_mimic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "cc17ce73-6192-4f2b-a72b-c697f37dd0b1",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ECG_HR</th>\n",
       "      <th>Adjusted_Time_seconds</th>\n",
       "      <th>Subject_Number</th>\n",
       "      <th>Health_label</th>\n",
       "      <th>Count</th>\n",
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       "      <th>PPG_HR_SDSD</th>\n",
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       "      <td>103.173028</td>\n",
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       "      <td>0</td>\n",
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       "      <td>120.0</td>\n",
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       "      <td>AF</td>\n",
       "      <td>2</td>\n",
       "      <td>52.202284</td>\n",
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       "      <td>56.719418</td>\n",
       "      <td>180.0</td>\n",
       "      <td>1099</td>\n",
       "      <td>AF</td>\n",
       "      <td>3</td>\n",
       "      <td>51.779935</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.076923</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>4</th>\n",
       "      <td>56.032761</td>\n",
       "      <td>780.0</td>\n",
       "      <td>1099</td>\n",
       "      <td>AF</td>\n",
       "      <td>4</td>\n",
       "      <td>50.635091</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>28489</th>\n",
       "      <td>1.668706</td>\n",
       "      <td>68880.0</td>\n",
       "      <td>4103</td>\n",
       "      <td>SR</td>\n",
       "      <td>1127</td>\n",
       "      <td>59.124797</td>\n",
       "      <td>59.124797</td>\n",
       "      <td>62.950820</td>\n",
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       "      <td>62.836364</td>\n",
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       "      <td>4103</td>\n",
       "      <td>SR</td>\n",
       "      <td>1129</td>\n",
       "      <td>59.413681</td>\n",
       "      <td>59.207048</td>\n",
       "      <td>64.719101</td>\n",
       "      <td>1</td>\n",
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       "      <td>105.356155</td>\n",
       "      <td>69660.0</td>\n",
       "      <td>4103</td>\n",
       "      <td>SR</td>\n",
       "      <td>1130</td>\n",
       "      <td>51.309460</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>28493</th>\n",
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       "      <td>SR</td>\n",
       "      <td>1131</td>\n",
       "      <td>51.585169</td>\n",
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      ],
      "text/plain": [
       "           ECG_HR  Adjusted_Time_seconds  Subject_Number Health_label  Count  \\\n",
       "0      103.173028                    0.0            1099           AF      0   \n",
       "1       58.645878                   60.0            1099           AF      1   \n",
       "2       62.314242                  120.0            1099           AF      2   \n",
       "3       56.719418                  180.0            1099           AF      3   \n",
       "4       56.032761                  780.0            1099           AF      4   \n",
       "...           ...                    ...             ...          ...    ...   \n",
       "28489    1.668706                68880.0            4103           SR   1127   \n",
       "28490   78.284344                69540.0            4103           SR   1128   \n",
       "28491   94.672872                69600.0            4103           SR   1129   \n",
       "28492  105.356155                69660.0            4103           SR   1130   \n",
       "28493   49.404215                69720.0            4103           SR   1131   \n",
       "\n",
       "       PPG_HR_withoutfilter  PPG_HR_SDSD  PPG_HR_auto60s  label  Pred_label  \n",
       "0                 54.827586          NaN       60.000000      1           1  \n",
       "1                 51.557465          NaN       49.230769      1           1  \n",
       "2                 52.202284          NaN       51.891892      1           1  \n",
       "3                 51.779935          NaN       59.076923      1           1  \n",
       "4                 50.635091          NaN       60.000000      1           1  \n",
       "...                     ...          ...             ...    ...         ...  \n",
       "28489             59.124797    59.124797       62.950820      0           0  \n",
       "28490             60.423223    60.397351       62.836364      0           0  \n",
       "28491             59.413681    59.207048       64.719101      1           1  \n",
       "28492             51.309460          NaN             NaN      1           1  \n",
       "28493             51.585169          NaN       42.666667      1           1  \n",
       "\n",
       "[28494 rows x 10 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4.1, Add predict label to test data (quality label)  and merge predict quality label with PPG HR. \n",
    "# FOR PHILIPS data\n",
    "model_type='SR_AF'\n",
    "test_feature = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='feature',is_mimic=False)\n",
    "\n",
    "predict_label = prepare_predict_label(test_feature, final_trained_model, final_trained_scalers)\n",
    "\n",
    "test_ppg_hr = load_and_filter_data(each_slice_length=each_slice_length, model_type=model_type, data_type='test', map_type='hr',is_mimic=False)\n",
    "\n",
    "ppg_hr = prepare_final_df(test_ppg_hr, predict_label)\n",
    "ppg_hr\n",
    "\n",
    "# 4.2, Prepare test ECG_HR as ground true.\n",
    "ecg_hr = create_final_ecg_hr_data(SR_directory = 'New_M4M/test_SR/ann_add/', AF_directory = 'New_M4M/test_AF/ann_add/')\n",
    "ecg_hr\n",
    "\n",
    "merged_data = pd.merge(ecg_hr, ppg_hr, on=['Count', 'Subject_Number'], suffixes=('_ecg', '_ppg'))\n",
    "merged_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "87bf2afb-ae05-4c8f-ba6d-25d0441db332",
   "metadata": {},
   "outputs": [
    {
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       "<p>33420 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           ECG_HR Subject_Number Health_label  Count  PPG_HR_withoutfilter  \\\n",
       "0       50.526316       80713046        MIMIC      0             82.515723   \n",
       "1       87.272727       80713046        MIMIC      1             89.538951   \n",
       "2       64.340426       80713046        MIMIC      2             89.633952   \n",
       "3       88.739496       80713046        MIMIC      3             88.137715   \n",
       "4       89.559748       80713046        MIMIC      4             88.460733   \n",
       "...           ...            ...          ...    ...                   ...   \n",
       "33415    1.668706           4103           SR   1127             59.124797   \n",
       "33416   78.284344           4103           SR   1128             60.423223   \n",
       "33417   94.672872           4103           SR   1129             59.413681   \n",
       "33418  105.356155           4103           SR   1130             51.309460   \n",
       "33419   49.404215           4103           SR   1131             51.585169   \n",
       "\n",
       "       PPG_HR_SDSD  PPG_HR_auto60s  label  Pred_label  \n",
       "0              NaN       85.333333      1           0  \n",
       "1        89.934641       90.995261      0           0  \n",
       "2        90.150922       82.500000      0           0  \n",
       "3        88.867235       78.513011      0           0  \n",
       "4        89.040512       90.887574      0           0  \n",
       "...            ...             ...    ...         ...  \n",
       "33415    59.124797       62.950820      0           0  \n",
       "33416    60.397351       62.836364      0           0  \n",
       "33417    59.207048       64.719101      1           1  \n",
       "33418          NaN             NaN      1           1  \n",
       "33419          NaN       42.666667      1           1  \n",
       "\n",
       "[33420 rows x 9 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined_data = pd.concat([merged_data_mimic, merged_data], ignore_index=True, join='inner')\n",
    "combined_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "1dd16d59-7cb9-4f50-b2e0-6c862900a993",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.style.use('article.mplstyle')\n",
    "# 4.4 Get Plot and metrics from PPG_HR & ECG_HR \n",
    "# 'SR' means on SR data | 'PPG_HR_SDSD' means HR with SDSD filter | filter_label='label' means use Manual Labeling |'Pred_label' means model Labeling\n",
    "# consider_label = True  means use data with good quality (from predict or manullly)\n",
    "\n",
    "health_labels_and_colors = [('SR', 'blue'), ('AF', 'red'),('MIMIC','green')]\n",
    "\n",
    "config = {\n",
    "    'ppg_hr_column': 'PPG_HR_withoutfilter',  # or 'PPG_HR_auto60s' or 'PPG_HR_withoutfilter'\n",
    "    'consider_label': False,  # or False\n",
    "    'filter_label': 'Pred_label'  # or 'label'Pred_label\n",
    "}\n",
    "\n",
    "plot_ecg_ppg_mae_combined(combined_data, health_labels_and_colors, \n",
    "                          ppg_hr_column=config['ppg_hr_column'], \n",
    "                          consider_label=config['consider_label'], \n",
    "                          filter_label=config['filter_label'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "33589227-b233-432b-ac08-c4a47ce1a30e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "health_labels_and_colors = [('SR', 'blue'), ('AF', 'red'),('MIMIC','Green')]\n",
    "\n",
    "config = {\n",
    "    'ppg_hr_column': 'PPG_HR_SDSD',  # or 'PPG_HR_auto60s' or 'PPG_HR_withoutfilter'\n",
    "    'consider_label': True,  # or False\n",
    "    'filter_label': 'Pred_label'  # or 'label'\n",
    "}\n",
    "\n",
    "\n",
    "plot_ecg_ppg_mae_combined(combined_data, health_labels_and_colors, \n",
    "                          ppg_hr_column=config['ppg_hr_column'], \n",
    "                          consider_label=config['consider_label'], \n",
    "                          filter_label=config['filter_label'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "532d0163-80ec-484c-8bd7-cd7bbf628469",
   "metadata": {},
   "source": [
    "#### "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:m1env] *",
   "language": "python",
   "name": "conda-env-m1env-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
